Ligue Canadienne de Hockey Simulé

Canadiens
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Stats d'équipe en Carrière

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Sidney Crosby	X				100.00	68	35	78	88	72	95	92	91	98	99	99	99	78	99	99	31	67	88	0
2	Phil Kessel			X		100.00	52	37	73	76	74	92	92	99	94	94	99	99	99	99	88	63	67	85	0
3	Alexander Semin		X			100.00	34	24	80	69	78	71	75	99	71	99	99	99	99	99	99	63	67	84	0
4	William Karlsson	X				100.00	60	40	88	86	73	91	97	89	83	76	92	84	60	85	64	66	67	79	0
5	Jonathan Marchessault		X			100.00	69	44	80	88	62	89	94	94	76	88	92	67	58	75	58	34	64	79	0
6	Andrew Shaw			X		100.00	78	69	62	72	72	58	96	99	85	85	98	69	94	69	76	51	68	78	0
7	Jeff Skinner		X			100.00	59	35	82	78	74	74	89	94	59	76	90	76	88	80	88	65	68	78	0
8	Drew Shore	X				100.00	67	52	81	65	77	85	92	98	92	93	80	77	74	83	74	54	67	78	0
9	Cam Atkinson			X		100.00	52	39	77	79	66	74	93	86	25	84	92	86	68	76	95	19	67	78	0
10	Magnus Paajarvi (R)			X		100.00	79	48	75	67	77	77	93	72	60	80	78	71	64	87	73	48	64	73	0
11	Cody McLeod		X			100.00	91	49	53	63	79	69	73	96	59	65	67	81	68	99	86	56	53	72	0
12	Torrey Mitchell	X				100.00	61	38	82	67	70	75	80	64	91	78	73	83	70	79	66	32	67	70	0
13	Jared Spurgeon				X	100.00	58	32	99	83	70	80	88	90	58	88	84	98	82	88	84	22	67	81	0
14	Niklas Hjalmarsson				X	100.00	53	32	93	72	79	89	88	97	51	66	72	94	74	92	99	17	43	79	0
15	Kevin Connauton (R)				X	100.00	76	44	82	71	76	80	89	99	30	95	91	64	70	90	79	50	68	77	0
16	Korbinian Holzer				X	100.00	82	43	80	63	78	84	86	77	30	55	60	99	67	88	89	43	40	76	0
17	Adam McQuaid				X	100.00	83	51	70	70	78	78	78	85	30	70	64	86	59	80	79	32	53	75	0
18	Trevor Van Riemsdyk				X	100.00	61	35	80	69	74	78	94	83	30	71	67	77	62	80	65	35	68	72	0
Rayé

	MOYENNE D'ÉQUIPE					100.00	66	42	79	74	74	80	88	90	62	81	83	84	74	86	81	43	63	78

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Devan Dubnyk	98.00	87	95	95	85	87	97	99	99	99	76	94	99	99	52	67	91	0
2	Al Montoya	100.00	80	78	85	78	79	99	89	95	91	83	87	99	99	27	67	85	0
Rayé

	MOYENNE D'ÉQUIPE	99.00	84	87	90	82	83	98	94	97	95	80	91	99	99	40	67	88

Nom du Coach	PH	DF	OF	PD	EX	LD	PO	CNT	Âge	Contrat	Salaire
Claude Julien	97	98	86	97	99	99	95	CAN	59	3	5,000,000$

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Joueur	Nom de l'Équipe	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Sidney Crosby	Canadiens	C	82	36	41	77	-14	46	0	205	270	310	86	164	11.61%	38	1814	22.13	11	18	29	51	303	2	0	2	11	305	3	3	53.41%	2477	67	28	0	1	0.85	4	12	0	0	0	7	6	5
2	Jonathan Marchessault	Canadiens	LW	82	27	45	72	4	77	15	166	134	292	77	170	9.25%	29	1478	18.03	6	8	14	28	230	1	0	1	6	76	4	2	42.31%	78	60	19	0	1	0.97	1	3	1	2	0	6	2	2
3	Phil Kessel	Canadiens	RW	82	21	46	67	-16	80	0	186	162	260	75	173	8.08%	49	1780	21.72	7	10	17	59	303	0	2	2	3	284	2	1	44.78%	134	62	24	0	0	0.75	0	12	0	0	0	3	3	5
4	William Karlsson	Canadiens	C	82	33	33	66	3	12	0	125	200	212	65	142	15.57%	41	1512	18.45	5	4	9	24	231	0	0	0	6	91	5	0	50.09%	1583	38	30	0	1	0.87	1	7	0	0	0	3	4	3
5	Alexander Semin	Canadiens	LW	82	21	34	55	-19	44	0	91	113	215	65	121	9.77%	33	1642	20.03	9	9	18	51	298	1	1	2	9	147	3	0	37.41%	139	30	23	0	0	0.67	3	12	0	0	0	3	0	3
6	Cam Atkinson	Canadiens	RW	82	23	31	54	4	64	0	125	115	161	67	103	14.29%	32	1281	15.62	2	3	5	7	123	0	1	1	3	67	2	2	22.64%	106	31	23	0	0	0.84	2	4	0	0	0	3	3	1
7	Drew Shore	Canadiens	C	82	17	29	46	6	28	0	95	133	122	47	68	13.93%	22	956	11.67	0	1	1	0	12	0	0	0	0	7	3	2	52.12%	708	10	14	0	0	0.96	1	2	0	0	0	0	3	4
8	Andrew Shaw	Canadiens	RW	82	21	24	45	1	93	5	197	70	178	44	86	11.80%	23	1099	13.41	1	4	5	14	111	0	0	0	0	2	1	0	43.10%	58	25	10	1	1	0.82	1	5	0	0	1	3	2	5
9	Jeff Skinner	Canadiens	LW	82	18	16	34	4	27	5	89	97	161	63	73	11.18%	17	1067	13.02	1	0	1	1	10	1	0	1	5	104	3	2	44.19%	43	19	20	0	0	0.64	3	4	0	0	1	1	3	0
10	Jared Spurgeon	Canadiens	D	82	5	25	30	-13	2	0	102	166	131	63	59	3.82%	122	2022	24.66	3	6	9	21	325	0	0	0	6	333	0	1	0.00%	0	36	58	0	0	0.30	1	2	0	0	0	1	1	1
11	Kevin Connauton	Canadiens	D	82	6	23	29	1	41	5	148	154	107	42	44	5.61%	85	1786	21.79	2	6	8	9	216	0	1	1	1	207	2	0	0.00%	0	28	46	0	0	0.32	1	1	0	0	1	0	2	2
12	Niklas Hjalmarsson	Canadiens	D	78	4	18	22	-14	12	0	84	145	101	35	45	3.96%	96	1919	24.61	1	5	6	22	317	0	1	1	0	319	1	1	0.00%	0	14	62	0	0	0.23	0	1	0	0	0	1	2	0
13	Torrey Mitchell	Canadiens	C	82	8	7	15	8	10	0	31	50	54	20	32	14.81%	11	540	6.60	0	0	0	0	0	0	0	0	0	0	1	2	44.33%	194	4	8	0	0	0.55	0	0	0	0	0	1	0	2
14	Trevor Van Riemsdyk	Canadiens	D	82	3	12	15	10	35	5	51	100	56	18	23	5.36%	60	1199	14.62	0	0	0	0	5	0	0	0	0	32	0	0	0.00%	0	10	31	0	0	0.25	0	0	0	0	1	0	1	0
15	Cody McLeod	Canadiens	LW	78	4	10	14	10	57	5	89	33	88	28	58	4.55%	22	536	6.87	0	0	0	0	0	0	0	0	0	5	0	0	55.56%	18	7	14	0	0	0.52	0	0	0	0	0	0	0	0
16	Adam McQuaid	Canadiens	D	78	1	11	12	10	60	10	161	99	58	22	30	1.72%	82	1174	15.06	0	0	0	1	18	0	0	0	0	15	1	0	0.00%	0	9	32	0	0	0.20	0	0	1	0	1	0	0	1
17	Korbinian Holzer	Canadiens	D	77	2	10	12	3	34	10	156	140	61	24	38	3.28%	90	1597	20.74	1	0	1	9	196	0	0	0	0	189	0	1	0.00%	0	4	37	0	0	0.15	0	0	0	1	1	1	1	0
18	Magnus Paajarvi	Canadiens	RW	82	6	4	10	9	21	5	69	44	90	34	54	6.67%	10	549	6.70	0	0	0	0	3	0	0	0	0	0	3	0	40.00%	15	13	4	0	0	0.36	0	0	0	1	0	0	0	2
19	Steven Kampfer	Canadiens (MON)	D	9	0	1	1	4	0	0	11	14	5	1	3	0.00%	6	137	15.24	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	0	7	0	0	0.15	0	0	0	0	0	0	0	0
20	Christian Folin	Canadiens (MON)	D	2	0	0	0	2	0	0	5	6	3	1	3	0.00%	0	32	16.26	0	0	0	0	0	0	0	0	0	0	0	0	0.00%	0	1	0	0	0	0.00	0	0	0	0	0	0	0	0
21	Brandon Carlo	Canadiens (MON)	D	2	0	0	0	-1	0	0	4	0	0	0	1	0.00%	1	41	20.91	0	0	0	0	6	0	0	0	0	7	0	0	0.00%	0	1	1	0	0	0.00	0	0	0	0	0	0	0	0
22	Kyle Connor	Canadiens (MON)	LW	4	0	0	0	-2	0	0	4	3	5	1	3	0.00%	0	28	7.17	0	0	0	0	0	0	0	0	0	0	0	0	100.00%	1	1	0	0	0	0.00	0	0	0	0	0	0	0	0
Stats d'équipe Total ou en Moyenne				1476	256	420	676	0	743	65	2194	2248	2670	878	1493	9.59%	869	24199	16.40	49	74	123	297	2713	5	6	11	50	2200	34	17	50.43%	5554	470	491	1	4	0.56	18	65	2	4	6	33	33	36

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Nom du Gardien	Nom de l'Équipe	GP	W	L	OTL	PCT	GAA	MP	PIM	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Devan Dubnyk	Canadiens	53	22	23	6	0.914	2.91	3073	0	149	1742	712	6	2	0.708	48	52	30	8	6	2
2	Al Montoya	Canadiens	34	18	11	2	0.905	3.09	1903	2	98	1027	391	2	1	0.765	17	30	52	3	1	1
Stats d'équipe Total ou en Moyenne			87	40	34	8	0.911	2.98	4976	2	247	2769	1103	8	3	0.723	65	82	82	11	7	3

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Astuces sur les Filtres (Anglais seulement)

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Nom du Joueur	Nom de l'Équipe	POS	Âge	Date de Naissance	Nouveau Joueur	Poids	Taille	Non-Échange	Disponible pour Échange	Ballotage Forcé	Contrat	Type	Salaire Actuel	Salaire Restant	Cap Salariale	Cap Salariale Restant	Exclus du Cap Salarial	Salaire Année 2	Salaire Année 3	Salaire Année 4	Salaire Année 5	Salaire Année 6	Salaire Année 7	Salaire Année 8	Salaire Année 9	Salaire Année 10	Link
Adam McQuaid	Canadiens	D	33	1986-10-12 17:11:13	No	212 Lbs	6 ft4	No	No	No	1	Pro & Farm	2,500,000$